Uncertainty-Driven Parallel Transformer-based Segmentation for Oral Disease Dataset
Accurate oral disease segmentation is a challenging task, for three major reasons: (i) The same type of oral disease has a diversity of size, color and texture; (ii) The boundary between oral lesions and their surrounding mucosa is not sharp; (iii) There is a lack of public large-scale oral disease...
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Bibliographische Detailangaben
Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - PP(2025) vom: 04. März
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1. Verfasser: |
Peng, Lintao
(VerfasserIn) |
Weitere Verfasser: |
Liu, Wenhui,
Xie, Siyu,
Ye, Lin,
Ye, Peng,
Xiao, Fei,
Bian, Liheng |
Format: | Online-Aufsatz
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Sprache: | English |
Veröffentlicht: |
2025
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Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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Schlagworte: | Journal Article |